Differentiation of Hispanic biogeographic ancestry with 80 ancestry informative markers

[1]  A. Hidalgo-Miranda,et al.  A panel of 32 AIMs suitable for population stratification correction and global ancestry estimation in Mexican mestizos , 2019, BMC Genetics.

[2]  Emily T. Norris,et al.  Genetic ancestry, admixture and health determinants in Latin America , 2018, BMC Genomics.

[3]  E. Parra,et al.  Exploring Cuba’s population structure and demographic history using genome-wide data , 2018, Scientific Reports.

[4]  L. Wain,et al.  A Genome‐Wide Association Study in Hispanics/Latinos Identifies Novel Signals for Lung Function. The Hispanic Community Health Study/Study of Latinos , 2018, American journal of respiratory and critical care medicine.

[5]  Nick Chater,et al.  Adaptive Anchoring Model: How Static and Dynamic Presentations of Time Series Influence Judgments and Predictions , 2017, Cogn. Sci..

[6]  Jennifer D. Churchill,et al.  Erratum: More Comprehensive Forensic Genetic Marker Analyses for Accurate Human Remains Identification Using Massively Parallel DNA Sequencing[BMC Genomics. 2016;17 Suppl 9:750.] DOI:10.1186/s12864-016-3087-2 , 2017 .

[7]  Helen E. Parkinson,et al.  The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog) , 2016, Nucleic Acids Res..

[8]  Elaine Y. Y. Cheung,et al.  Prediction of biogeographical ancestry from genotype: a comparison of classifiers , 2017, International Journal of Legal Medicine.

[9]  Jennifer D. Churchill,et al.  More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing , 2016, BMC Genomics.

[10]  Jennifer D. Churchill,et al.  More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing , 2016, BMC Genomics.

[11]  W Parson,et al.  Inter-laboratory evaluation of the EUROFORGEN Global ancestry-informative SNP panel by massively parallel sequencing using the Ion PGM™. , 2016, Forensic science international. Genetics.

[12]  K. Kidd,et al.  Minimal SNP overlap among multiple panels of ancestry informative markers argues for more international collaboration. , 2016, Forensic science international. Genetics.

[13]  M V Lareu,et al.  The Global AIMs Nano set: A 31-plex SNaPshot assay of ancestry-informative SNPs. , 2016, Forensic science international. Genetics.

[14]  R. Chakraborty,et al.  Selection of highly informative SNP markers for population affiliation of major US populations , 2016, International Journal of Legal Medicine.

[15]  Nicholette D. Palmer,et al.  A Comprehensive Analysis of Common and Rare Variants to Identify Adiposity Loci in Hispanic Americans: The IRAS Family Study (IRASFS) , 2015, PloS one.

[16]  Gabor T. Marth,et al.  A global reference for human genetic variation , 2015, Nature.

[17]  Chris Phillips,et al.  Forensic genetic analysis of bio-geographical ancestry. , 2015, Forensic science international. Genetics.

[18]  Á. Carracedo,et al.  Exploration of SNP variants affecting hair colour prediction in Europeans , 2015, International Journal of Legal Medicine.

[19]  M. Pirinen,et al.  The fine-scale genetic structure of the British population , 2015, Nature.

[20]  Carson C Chow,et al.  Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.

[21]  Chris Phillips,et al.  Development of a forensic skin colour predictive test. , 2014, Forensic science international. Genetics.

[22]  Á. Carracedo,et al.  Exploring iris colour prediction and ancestry inference in admixed populations of South America. , 2014, Forensic science international. Genetics.

[23]  N. Morling,et al.  Building a forensic ancestry panel from the ground up: The EUROFORGEN Global AIM-SNP set. , 2014, Forensic science international. Genetics.

[24]  M. Kayser,et al.  The common occurrence of epistasis in the determination of human pigmentation and its impact on DNA-based pigmentation phenotype prediction. , 2014, Forensic science international. Genetics.

[25]  E. Parra,et al.  Cuba: Exploring the History of Admixture and the Genetic Basis of Pigmentation Using Autosomal and Uniparental Markers , 2014, PLoS genetics.

[26]  K. Kidd,et al.  Progress toward an efficient panel of SNPs for ancestry inference. , 2014, Forensic science international. Genetics.

[27]  Ajay K. Royyuru,et al.  Geographic population structure analysis of worldwide human populations infers their biogeographical origins , 2014, Nature Communications.

[28]  D. Falush,et al.  A Genetic Atlas of Human Admixture History , 2014, Science.

[29]  Caixia Li,et al.  Developing a novel panel of genome-wide ancestry informative markers for bio-geographical ancestry estimates. , 2014, Forensic science international. Genetics.

[30]  Á. Carracedo,et al.  Ancestry analysis reveals a predominant Native American component with moderate European admixture in Bolivians. , 2013, Forensic science international. Genetics.

[31]  Jake K. Byrnes,et al.  Reconstructing the Population Genetic History of the Caribbean , 2013, PLoS genetics.

[32]  Á. Carracedo,et al.  The Genetic Legacy of the Pre-Colonial Period in Contemporary Bolivians , 2013, PloS one.

[33]  Luca Pagani,et al.  The GenoChip: A New Tool for Genetic Anthropology , 2012, Genome biology and evolution.

[34]  Nnamdi E. Ihuegbu,et al.  Microhaplotype loci are a powerful new type of forensic marker , 2013 .

[35]  C. Phillips,et al.  An assessment of Bayesian and multinomial logistic regression classification systems to analyse admixed individuals , 2013 .

[36]  M V Lareu,et al.  Further development of forensic eye color predictive tests. , 2013, Forensic science international. Genetics.

[37]  M V Lareu,et al.  Revision of the SNPforID 34-plex forensic ancestry test: Assay enhancements, standard reference sample genotypes and extended population studies. , 2013, Forensic science international. Genetics.

[38]  Jasmin Divers,et al.  Population Structure of Hispanics in the United States: The Multi-Ethnic Study of Atherosclerosis , 2012, PLoS genetics.

[39]  Christopher R. Gignoux,et al.  Development of a Panel of Genome-Wide Ancestry Informative Markers to Study Admixture Throughout the Americas , 2012, PLoS genetics.

[40]  António Amorim,et al.  Straightforward Inference of Ancestry and Admixture Proportions through Ancestry-Informative Insertion Deletion Multiplexing , 2012, PloS one.

[41]  Yue Wang,et al.  An Overview of Population Genetic Data Simulation , 2012, J. Comput. Biol..

[42]  Kenneth K. Kidd,et al.  ALFRED: an allele frequency resource for research and teaching , 2011, Nucleic Acids Res..

[43]  B. vonHoldt,et al.  STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method , 2012, Conservation Genetics Resources.

[44]  Sharon R Grossman,et al.  Integrating common and rare genetic variation in diverse human populations , 2010, Nature.

[45]  Heli Askola.  Trafficking in Human Beings: Modern Slavery , 2010 .

[46]  P. Donnelly,et al.  A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies , 2009, PLoS genetics.

[47]  Gabriel Silva,et al.  Ancestry informative marker sets for determining continental origin and admixture proportions in common populations in America , 2009, Human mutation.

[48]  J. Pritchard,et al.  Documentation for structure software : Version 2 . 3 , 2009 .

[49]  Michael F. Seldin,et al.  Analysis of East Asia Genetic Substructure Using Genome-Wide SNP Arrays , 2008, PloS one.

[50]  Joshua M. Korn,et al.  Integrated detection and population-genetic analysis of SNPs and copy number variation , 2008, Nature Genetics.

[51]  Silvia Scarpa.  Trafficking in Human Beings: Modern Slavery , 2008 .

[52]  Á. Carracedo,et al.  Inferring ancestral origin using a single multiplex assay of ancestry-informative marker SNPs. , 2007, Forensic science international. Genetics.

[53]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[54]  Noah A. Rosenberg,et al.  CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure , 2007, Bioinform..

[55]  J. Scullion,et al.  Modern slavery. , 2007, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[56]  D. Reich,et al.  Population Structure and Eigenanalysis , 2006, PLoS genetics.

[57]  G. Evanno,et al.  Detecting the number of clusters of individuals using the software structure: a simulation study , 2005, Molecular ecology.

[58]  N. Rosenberg.  distruct: a program for the graphical display of population structure , 2003 .

[59]  P. Tam.  The International HapMap Consortium. The International HapMap Project (Co-PI of Hong Kong Centre which responsible for 2.5% of genome) , 2003 .

[60]  †The International HapMap Consortium.  The International HapMap Project , 2003, Nature.

[61]  Tom H. Pringle,et al.  The human genome browser at UCSC. , 2002, Genome research.

[62]  John M. Butler,et al.  Forensic DNA Typing: Biology, Technology, and Genetics of STR Markers , 2001 .

[63]  P. Donnelly,et al.  Inference of population structure using multilocus genotype data. , 2000, Genetics.

[64]  C. Cockerham,et al.  ESTIMATION OF GENE FLOW FROM F‐STATISTICS , 1993, Evolution; international journal of organic evolution.

[65]  S WRIGHT,et al.  Genetical structure of populations. , 1950, Nature.